Case Study: Foretellix cuts cloud costs by 30% with CAST AI

Foretellix reduced compute costs by 30% using automation for massive energy savings

Foretellix, a provider of data automation for AI-powered autonomy, faced rising cloud costs and growing infrastructure demand as its hyperscale simulation and CI workloads expanded. To optimize cloud resource usage, reduce spend, and improve energy efficiency, the company turned to CAST AI.

By implementing CAST AI’s automation for Kubernetes resource management, Foretellix improved utilization, automated Spot-to-Reserved fallback, and scaled spiky workloads up and down more efficiently. CAST AI helped Foretellix cut compute costs by at least 30%, reduce overprovisioning, save more than 199,000 kWh of energy, and run at its lowest recorded infrastructure cost while maintaining performance.

Foretellix

Ron Grosberg

Vice President, Research & Development